🥣 OpenAI Pursues Private Databases

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OpenAI is launching 'Data Partnerships' to enhance AI training with diverse datasets from various industries, cultures, and languages. This initiative aims to develop AI that comprehensively understands human society, making it safer and more beneficial.

They've already collaborated with the Icelandic Government and the Free Law Project, incorporating their unique datasets to improve AI's language and legal understanding. OpenAI is seeking large-scale, diverse datasets in any form, including text, images, audio, and video, especially those expressing human intention.

They offer two partnership avenues: creating an open-source dataset for public use and developing private datasets for proprietary AI models. This move signifies a leap towards more inclusive and efficient AI, tailored to specific domains and maximizing benefits for all of humanity.

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Vectara has launched a cutting-edge leaderboard evaluating the performance of Large Language Models (LLMs) based on their ability to avoid hallucinations – false or misleading information – in document summarization.

This unique benchmarking tool uses a specially developed model to test various LLMs, including notable names like OpenAI's models, on their factual consistency. The process involved analyzing responses from these LLMs to 1,000 documents, focusing on how accurately they summarized the content without deviating into fabrications.

Additionally, Vectara aims to extend their hallucination detection capabilities across a broader range of languages and include citation accuracy evaluations, addressing a common issue in Retrieval Augmented Generation (RAG) systems. This initiative represents a significant step forward in ensuring the reliability and trustworthiness of AI-generated content.

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